Bi-directional search for bugs: A tool for accelerating knowledge acquisition for equation-based tutoring systems

Sung Young Jung, Kurt Vanlehn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Authoring the knowledge base for an intelligent tutoring system (ITS) is difficult and time consuming. In many ITS, the knowledge base is used for solving problems, so authoring it is an instance of the notoriously difficult knowledge acquisition problem of expert systems. General tools for knowledge acquisition have shown only limited success, which suggests developing tools that apply only to specific kinds of knowledge bases. Pyrenees is an ITS whose knowledge base is composed mostly of conditioned equations. We have developed several tools for authoring Pyrenees knowledge bases. This paper focuses on a novel and particularly powerful tool that uses bidirectional search to locate bugs in the knowledge base. In several evaluations, human authoring was significantly faster when the tool was available than when it was unavailable

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 9th International Conference, ITS 2008, Proceedings
PublisherSpringer Verlag
Pages758-762
Number of pages5
ISBN (Print)3540691308, 9783540691303
DOIs
StatePublished - 2008
Externally publishedYes
Event9th International Conference on Intelligent Tutoring Systems, ITS 2008 - Montreal, QC, Canada
Duration: Jun 23 2008Jun 27 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Intelligent Tutoring Systems, ITS 2008
CountryCanada
CityMontreal, QC
Period6/23/086/27/08

Keywords

  • Authoring tools
  • Automatic error detection on knowledge
  • Bi-directional search

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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